Utilizing sensor fusion to improve VSLAM – based navigation for autonomous mobile robots

21st March 2023

Presented by

Sagar Dhatrak and Harsh Vardhan Singh

23rd March 2023
From 9:30PM IST

Presented by

Amit Gupta and Gurpreet Singh


Amit Gupta

Amit is currently leading the robotics center of excellence and is part of a solutions team based in eInfochips’s Noida, India location. Amit has over 23 years of experience in the semiconductor/electronics industry, handling stages from innovation to monetization. He has conceived complete products and solutions involving cross-functional teams (hardware, firmware, mechanical, cloud, app, and certifications) to achieve ROI for customers in edge AI, robotics, industry4.0, internet of things, smart utility, telehealth, and asset tracking.

Gurpreet Singh

Gurpreet is a solution architect with 19 years of expertise in product design, and is part of solutions team based in eInfochips’ Noida, India location. He has worked on ARM-based SoC platforms such as Qualcomm, NVIDIA, and NXP, and has experience with a variety of technologies such as AI/ML and multimedia middleware stacks across many operating systems, and is presently assisting the team in robotics practice.

Sagar Dhatrak

Sagar Dhatrak completed his M.Sc in electronics science in 2011 and submitted his Ph.D. thesis on monocular visual SLAM in 2021. He’s currently working as a VSLAM specialist at Einfochips (an Arrow company) and working on autonomous navigation of autonomous mobile robots using Visual SLAM. He has worked on embedded system and robotics related projects for around six years.

Harsh Vardhan Singh

Harsh Vardhan Singh holds an M.S. in computer science from Georgia Institute of Technology with machine learning as the specialization (OMSCS). He’s a solutions research engineer who’s currently working on sensor fusion and the navigation stack within the ROS 2 environment for an autonomous mobile robot proof-of-concept. Harsh has around seven years of industrial experience, with an initial six years spent in the Research and Innovation Labs. He’s worked on multiple projects involving applications of computer vision, AI, deep learning, machine learning, reinforcement learning, and robotics.

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